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AI/ML, Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My current professional interests are in the Data Science, Machine Learning & Deep Learning domains. I have varied technical leadership experience spanning Cloud Systems & Hardware Architecture in my previous positions.
Indian Institute of Technology, Delhi
Bachelor of Technology (BTech), Electrical Engineering
January 1, 2002 – January 1, 2006
Turiyam AI
Machine Learning Software Architect
February 1, 2025 – Present
AMD
PMTS - Machine Learning Software
October 1, 2018 – January 1, 2025
BlackBuck (Zinka Logistics Solutions Pvt. Ltd.)
Principal Engineer - Machine Learning
December 1, 2017 – May 1, 2018
Bengaluru Area, India
Jio
Principal Engineer/Manager - Infastructure Engg, Jio Cloud
June 1, 2015 – December 1, 2017
Bengaluru Area, India
NVIDIA
Senior ASIC Engineer - CPU Architecture
December 1, 2014 – June 1, 2015
Qualcomm
Lead Engineer, Sr. - Wireless LAN core
May 1, 2013 – November 1, 2014
NVIDIA
Senior ASIC Engineer / Architect
July 1, 2006 – May 1, 2013
Cultural Fit Analysis
The candidate demonstrates a diverse career path across hardware (NVIDIA, Qualcomm), infrastructure (Jio), and pure ML/AI (BlackBuck, AMD, Turiyam AI) companies. This breadth of experience suggests adaptability and a willingness to tackle varied technical challenges. The progression towards ML Engineer roles indicates a clear career focus alignment with the target role. However, the lack of specific project details or contributions beyond high-level descriptions makes it challenging to fully assess cultural fit based on collaboration styles or specific project impact.
Soft Skills & Operational Fit
The candidate's career progression from ASIC/System Engineer to Principal Engineer and Architect roles suggests strong problem-solving, leadership, and architectural design skills. The descriptions indicate experience in managing complex projects and optimizing systems for performance and reliability, which are critical for operational fit in a senior ML role. However, without specific psychometric or English test results, a definitive assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration cannot be made.